Literature DB >> 15221755

Functional protein microarrays for parallel characterisation of p53 mutants.

Jonathan M Boutell1, Darren J Hart, Benjamin L J Godber, Roland Z Kozlowski, Jonathan M Blackburn.   

Abstract

Understanding the way in which single nucleotide polymorphisms and mutations in the human genome result in individual susceptibility to disease is a major goal in the postgenomic era. Such knowledge should accelerate the development of personalised medicine in which drug treatment can specifically match an individual's genotype. High-throughput DNA sequencing is generating the initial information required, but new technologies are required that can rapidly characterise the phenotypic effects of the identified polymorphisms. For example, many thousands of allelic variants of the p53 gene have been described and are responsible for more than 50% of cancers, however few of the protein products have been functionally characterised. Here we have quantified in parallel the effects of mutations and polymorphisms on the DNA-binding function of the p53 oncoprotein using a protein microarray, allowing their subclassification according to functional effect. Protein-protein interactions between p53 variants and (i) a regulatory oncoprotein, (ii) a regulatory kinase resulting in on-chip phosphorylation, are also described, suggesting the more general utility of this high-throughput assay format.

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Year:  2004        PMID: 15221755     DOI: 10.1002/pmic.200300722

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  13 in total

Review 1.  Dissecting protein function and signaling using protein microarrays.

Authors:  Alejandro Wolf-Yadlin; Mark Sevecka; Gavin MacBeath
Journal:  Curr Opin Chem Biol       Date:  2009-08-05       Impact factor: 8.822

2.  Quantifying protein-protein interactions in high throughput using protein domain microarrays.

Authors:  Alexis Kaushansky; John E Allen; Andrew Gordus; Michael A Stiffler; Ethan S Karp; Bryan H Chang; Gavin MacBeath
Journal:  Nat Protoc       Date:  2010-04-01       Impact factor: 13.491

Review 3.  DNA microarrays: recent developments and applications to the study of pituitary tissues.

Authors:  Xiang Qian; Bernd W Scheithauer; Kalman Kovacs; Ricardo V Lloyd
Journal:  Endocrine       Date:  2005-10       Impact factor: 3.633

4.  Variable population prevalence estimates of germline TP53 variants: A gnomAD-based analysis.

Authors:  Kelvin C de Andrade; Megan N Frone; Talia Wegman-Ostrosky; Payal P Khincha; Jung Kim; Amina Amadou; Karina M Santiago; Fernanda P Fortes; Nathanaël Lemonnier; Lisa Mirabello; Douglas R Stewart; Pierre Hainaut; Luiz P Kowalski; Sharon A Savage; Maria I Achatz
Journal:  Hum Mutat       Date:  2018-11-19       Impact factor: 4.878

5.  Identifying protein interactions with metal-modified DNA using microarray technology.

Authors:  Hope E Stansfield; Bethany P Kulczewski; Kyle E Lybrand; Elizabeth R Jamieson
Journal:  J Biol Inorg Chem       Date:  2008-10-21       Impact factor: 3.358

6.  Investigation of non-nucleophilic additives for the reduction of morphological anomalies in protein arrays.

Authors:  Charles R Mace; Amrita R Yadav; Benjamin L Miller
Journal:  Langmuir       Date:  2008-10-17       Impact factor: 3.882

7.  Applying bioinformatics for antibody epitope prediction using affinity-selected mimotopes - relevance for vaccine design.

Authors:  Galina F Denisova; Dimitri A Denisov; Jonathan L Bramson
Journal:  Immunome Res       Date:  2010-11-03

Review 8.  Protein microarrays: novel developments and applications.

Authors:  Luis Berrade; Angie E Garcia; Julio A Camarero
Journal:  Pharm Res       Date:  2010-11-30       Impact factor: 4.200

9.  Next-generation high-density self-assembling functional protein arrays.

Authors:  Niroshan Ramachandran; Jacob V Raphael; Eugenie Hainsworth; Gokhan Demirkan; Manuel G Fuentes; Andreas Rolfs; Yanhui Hu; Joshua LaBaer
Journal:  Nat Methods       Date:  2008-05-11       Impact factor: 28.547

10.  Proteomics Discovery of Disease Biomarkers.

Authors:  Mamoun Ahram; Emanuel F Petricoin
Journal:  Biomark Insights       Date:  2008-06-06
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